Remove Algorithm Remove Datasets Remove Insurance Remove Unstructured Data
article thumbnail

Medical Datasets for Machine Learning: Aims, Types and Common Use Cases

AltexSoft

In this post, we’ll briefly discuss challenges you face when working with medical data and make an overview of publucly available healthcare datasets, along with practical tasks they help solve. Medical Data: What to Consider When Working with Healthcare Information. The main problem with healthcare data is its sensitivity.

Medical 52
article thumbnail

Length of Stay in Hospital: How to Predict the Duration of Inpatient Treatment

AltexSoft

Healthcare facilities and insurance companies would give a lot to know the answer for each new admission. This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. The built-in algorithm learns from every case, enhancing its results over time.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Importance of Data Science in 2024 [A Simple Guide]

Knowledge Hut

What i s Data Science and Why is it Important? Data Science is the study of extracting insights from massive amounts of data using various scientific approaches, processes and algorithms. The development of big data, data analysis, and quantitative statistics has given rise to the term "data science."

article thumbnail

Data Science in FinTech: Roles, Use Cases, and Benefits

Knowledge Hut

Over time, FinTech has evolved to disrupt almost all aspects of financial services, including payments, investments, consumer finance, insurance, securities settlement, cryptocurrencies, etc. FinTech companies depend heavily on FinTech data science to simplify financial decision-making and deliver cutting-edge solutions.

article thumbnail

The Role of Database Applications in Modern Business Environments

Knowledge Hut

Redis and Riak, for example, save data as key-value pairs, enabling rapid retrieval and storage of simple data structures. Columnar stores, such as Apache Cassandra and Apache HBase, organize data by columns rather than rows, allowing for faster read and write operations on huge datasets. Spatial Database (e.g.-

article thumbnail

Natural Language Processing in Healthcare: Using Text Analysis for Medical Documentation and Decision-Making

AltexSoft

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. This allows machines to extract value even from unstructured data. Healthcare organizations generate a lot of text data. Source: Linguamatics.

Medical 52
article thumbnail

5 Big Data Use Cases- How Companies Use Big Data

ProjectPro

Organizations in every industry are increasingly turning to Hadoop, NoSQL databases and other big data tools to attain customer delight which in turn will reap financial rewards for the business by outperforming the competition.81% 81% of the organizations say that Big Data is a top 5 IT priority.